Amazon Web Services (AWS) - Practical Data Science with Amazon SageMaker (PDSASM)

Overview

On this accelerated AWS Practical Data Science with Amazon SageMaker (PDSASM) course, you'll learn how to solve a real-world case with Machine Learning (ML) and produce actionable results using Amazon SageMaker.

In just 1 day, you’ll learn the fundamentals of the stages of a typical data science process for ML, from analysing and visualising a dataset, to preparing the data and feature engineering. You’ll also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. You’ll build knowledge on:

• How to automatically tune a model
• The deployment/production readiness
• The relative cost of errors

As an official AWS Training Partner, through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to official courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

• Developers
• Data Scientists

Four reasons why you should sit your course with Firebrand Training

1. You'll be trained and certified faster. Learn more on this 2-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
2. Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
3. Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
4. Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001